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About this paper
Weijie Kong, Qi Tian, Zijian Zhang, Rox Min, Zuozhuo Dai, Jin Zhou, Jiangfeng Xiong, Xin Li and 44 more
Tencent's Hunyuan Foundation Model Team developed HunyuanVideo, an open-source framework for large video generative models that achieves performance comparable to leading closed-source solutions. The 13-billion-parameter model excels in human evaluations for motion dynamics and visual quality, supported by a systematic framework for data, architecture, and efficient training.
Key insights
- High-quality video generation necessitates a comprehensive, systematic approach encompassing meticulous data curation, advanced model architecture, and scalable training infrastructure, beyond mere model size.
- Open-source models can achieve human-evaluated performance on par with leading proprietary systems, effectively bridging the performance gap in the generative AI landscape.
- Custom-designed components, such as a Causal 3D VAE specifically trained for video and an MLLM-based text encoder, are crucial for enhancing video reconstruction fidelity and precise text-video alignment.
Summary by alphaXiv.
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